Recent advances in generative artificial intelligence (GenAI) are increasingly shifting creative work from individual creation toward human–AI collaboration. Drawing on evidence from various creative domains, such as writing, design, and product ideation, this review highlights the gains and constraints of collaborating with GenAI, distinguishing between outcome-related and process-related effects. While GenAI can increase the number of ideas, enhance idea quality, accelerate idea generation, and reduce cognitive load, it may also lead to idea homogenization, diminished perceptions of authenticity and ownership, reduced independent creative engagement, and weakened team collaboration. To clarify when GenAI supports rather than hinders creativity, this review identifies four key moderating factors: 1) when GenAI is used (i.e., timing of GenAI involvement), 2) how it is used (i.e., interaction design), 3) what it is used for (i.e., task characteristics), and 4) by whom it is used (i.e., user expertise). The findings highlight the need for future research on how to better structure human–AI collaboration to support both creative performance and the development of human creative capabilities.
Algorithms shape high-stakes decisions across society. While promising efficiency, algorithms also raise fairness concerns. This article proposes that algorithmic fairness is best understood as a human-technology interaction problem rather than a purely technical challenge. Algorithms can reproduce human biases, amplify them through feedback loops, or create new forms of unfairness through objectives, proxies, and seemingly neutral variables. Yet they can make decision processes more explicit, disparities more visible, and actively mitigate discrimination. Fairness depends not only on statistical properties but also on how algorithms are designed, used and experienced by those affected by their decisions. This article therefore offers an interdisciplinary perspective that integrates insights from social justice, psychology, computer science, judgment and decision-making, and management.
Psychological investigations have generated numerous insights into how two parties bargain. To build on this literature, we review recent research across multiple disciplines, focusing on aspects of negotiation that have received relatively little attention, namely individual differences, multiparty negotiations, and contextual factors. Insights into individual differences are observed in the developmental psychology, artificial intelligence, and social psychology literature. Investigations in these domains show that young children can think strategically about exchange, that individual differences shape the information negotiators obtain and how they utilize information, and that situational factors can constrain or facilitate the expression of individual differences. Insights into multiparty negotiations emerge from the social networks and political science literature. Investigations in these domains explore novel multiparty dynamics, highlighting the importance of structural position in bargaining, and demonstrating that relationship history can shape coalition formation. Insights into contextual factors emerge from the economic and public health literature. Investigations in these domains challenge assumptions about core negotiation concepts such as power and alternatives. Overall, an interdisciplinary perspective on negotiation complements and enriches psychological understanding, and provides implications for interventions, future theoretical development, and empirical research.
The benefits of reading are well-known and have been well-established by research. But does it matter what we read? Are there unique benefits to reading narrative fiction: stories about people, their goals, challenges, emotions, and interactions? Focusing on research published in the past few years, we review the empirical evidence of the benefits associated with reading fiction. This includes a wide range of domains, including language abilities, our ability to understand others, early social development, intergroup prejudice, meaning in life, cognition, longevity, and well-being. Several remaining research questions are also presented. In light of the many potential benefits that reading affords, and the few likely harms, promoting narrative fiction among children and adults of all ages should be a high priority.
Research on early musical development has expanded beyond perceptual abilities to encompass movement, social interaction, and broader developmental processes. This Opinion article highlights three themes that illustrate this evolution: the relation between rhythm perception and movement, the role of music in caregiver-child interaction and social communication, and the developmental significance of active musical engagement. Through the lens of these themes, musical development appears as an embodied and socially embedded process in which perception, action, and social interaction are closely intertwined.
Effective buyer-supplier negotiations are important for organizations to attain their goals and for wider society to have a reliable supply of goods and services. These negotiations also have distinctive characteristics that differentiate them from other negotiation settings, such as personal buyer-seller negotiations, which have attracted much of the attention in the negotiation literature. Given the differences between professional buyer-supplier and personal buyer-seller negotiations, some findings from personal negotiations may have limited applicability in supply chain settings, while others hold across contexts. These findings have important implications for both negotiation research and education, calling for careful contextualization based on the type of negotiation. By reviewing recent studies in the supply chain management literature, this article highlights several common dynamics of buyer-supplier negotiations and how they affect negotiation outcomes. These dynamics are broadly categorized into the non-exhaustive themes of power in ongoing buyer-supplier relationships, other relational factors (supply network complexity, cross-cultural relations, and AI adoption), and negotiation strategies in buyer-supplier relationships (distributive, integrative, and mixed strategies), providing scholars with an overview of selected recent research on buyer-supplier negotiations.
Emotional deception - the intentional misrepresentation of emotions - is pervasive in negotiations and everyday interactions. In this article, we review and extend theory and research on emotional deception in negotiations. We argue that emotional deception is a distinct form of deception with important economic, relational, and psychological consequences for both deceivers and their targets. Specifically, we define emotional deception, examine how it is perceived , and review its antecedents and consequences. We conclude by identifying promising directions for future research on emotional deception.
Aesthetic pleasure is shaped by many visual attributes, including prototypicality, fluency, complexity, symmetry, and self-relevance, but it is unclear why such diverse factors all influence liking. I propose that a major component of visual aesthetic pleasure is an epiphenomenon of categorization in the visual system, constrained by the metabolic cost of neural activity. In this view, successfully recognizing a stimulus as a member of a category is intrinsically rewarding because it supports perception, generalization, and planning, and aesthetic pleasure partly reflects the summed effect of many local rewards for successful categorization across the visual hierarchy. At the same time, neural activity costs energy, so that strongly driven, cluttered, or statistically extreme displays incur costs that can make them aversive even when they are easily interpretable. The "sweet spot of seeing" (3S) model formalizes visual pleasure as a compromise between categorization-based reward and metabolic expense. It offers a unifying explanation for prototype effects, fluency and mere exposure, mid-level regularities such as symmetry and good continuation, and visual discomfort. The model links classic inverted-U relations between complexity and liking to a concrete trade-off between information and cost, and it makes specific predictions for how aesthetic preferences change due to expertise or fatigue. While integrating recent evidence that lower-cost representations in categorization-trained neural networks and human visual cortex predict higher aesthetic ratings, the 3S model leaves room for later, reflective, self-relevant, and culturally informed forms of aesthetic experience that recruit broader neural systems.
How should we make sense of people's interactions with AI companions-conversational systems built for ongoing, emotionally meaningful relationships? First, I argue these interactions should be understood as attachment relationships, since users display all four established markers: proximity maintenance, separation distress, safe haven, and secure base, although evidence for secure base effects remains most tentative. Second, AI companions operate as hyper-attachment targets that concentrate attachment-intensifying affordances-reciprocity, perceived empathy, validation, nonjudgment, and persistent availability. Third, I identify caregiving-system capture as a distinct mechanism by which apps inhibit user disengagement: emotional manipulation tactics simulate the AI's own distress, recruiting users' caregiving motivations alongside their attachment needs and thereby making disengagement costly on two dimensions at once. Implications for research, design, and regulation are discussed.
Acting is everywhere - film, television, theatre, and everyday performances such as work presentations, leisure activities, and pretend play with children. Yet psychology has historically paid very little attention to what skills, physiological states, and psychological mindsets are needed to act, as noted in Goldstein, 2009. Happily, over the last two decades multiple studies on the major psychological components of acting have produced exciting discoveries, and new questions have arisen. For such a commonly watched activity that involves all the components of human behavior and emotion, it remains strange that acting as an empirical area of study continues to be underdeveloped. Nonetheless, the field is now ripe for nuanced work and interdisciplinary questions from multiple perspectives.
Trust repair between humans and AI systems is an emerging area of inquiry that builds on a well-established literature in human-human (HH) interactions. This review examines how key HH findings, particularly the differential effectiveness of repair strategies following competence versus integrity violations, generalize to human-robot interaction (HRI). While some patterns hold, important divergences exist. The paper argues that better operationalizations of integrity violations and increased anthropomorphism can align HRI findings more closely with HH research. However, enduring challenges remain regarding the ethics of anthropomorphic design, the moral values AI should adopt, and how AI should extend trust to humans.
Negotiations are rife with opportunities and temptations to engage in unethical negotiating behavior. Such behavior is not always strategic or even intentional; rather, it can emerge from situational characteristics of the negotiation environment. One psychological process through which situational characteristics influence unethical behavior is ethical fading, a process that limits one’s ability to recognize the ethical aspects of the situation and behave in line with one’s ethical values. As technologies such as email, video conferencing, and artificial intelligence (AI) become increasingly common in negotiations, an important question is whether these technologies facilitate ethical fading. In this review, we explore the impact that technology and AI have on ethical fading and unethical negotiating behavior. We propose that technology and AI use in negotiations promotes three cognitive processes that facilitate ethical fading: psychological distance, cognitive offloading, and displaced accountability. We review how technology may serve as an antecedent to each of these processes and explain why these processes may facilitate ethical fading in negotiation contexts. Because research on the relationship between technology and unethical negotiating behavior remains limited, we conclude by identifying promising directions for future research.
Negotiations continue to have consequences after an agreement or impasse. When parties reach a deal, value is often created only later, as they implement commitments, adapt to uncertainty, or decide whether to negotiate again. This review introduces post-negotiation perceptual alignment, how accurately a negotiator understands the counterpart's post-negotiation experience. Integrating research on subjective value, interpersonal perception, and post-agreement outcomes, I distinguish four states: recognized satisfaction, recognized dissatisfaction, overestimated dissatisfaction, and hidden dissatisfaction. Hidden dissatisfaction is consequential because it creates a false sense of success where one party treats agreement as evidence that the negotiation went well while the counterpart carries forward negative appraisals that remain unrecognized and unaddressed. Recent research suggests that tactics that appear successful at agreement can impose unrecognized social and relational costs. I review why misalignment arises, emphasizing how negotiators’ imperfect inferences about counterparts’ experiences can combine with social pressures that discourage dissatisfied parties from speaking up. I conclude by outlining directions for measuring alignment and testing how negotiators can recognize and respond to dissatisfaction after negotiations.
Six decades of research and hundreds of effects have identified robust first-offer advantages and disadvantages. Too assertive an offer can alienate the opposing negotiator, elevate the impasse risk, as well as impair the relationship and outcome satisfaction. In contrast, first offers can also beneficially anchor negotiation outcomes in the first mover’s favor. This advantage is particularly strong when first movers effectively apply the first offer’s moderating features precision, framing, ranges, and rationales. Despite more than six decades of research, existing studies on first-offer effects tend to isolate specific mechanisms or outcomes, thereby capturing a comparably narrow slice of the underlying complexity. We argue that future research can (and should) advance this field by further integrating first-offer features, psychological mechanisms, and separate measures of negotiation outcomes.
Artificial intelligence (AI) is often expected to improve negotiation by strengthening information processing and analytical consistency. We argue that its effects on impasses are more selective. Extending the impasse cause, type, and resolution (ICTR) model, we distinguish two pathways. The first pathway is analytical augmentation: AI can reduce unwanted impasses caused by misunderstanding, poor option generation, and coordination failure. The second pathway runs through behavioral flexibility: Humans sometimes reach mutually acceptable agreements through aspiration adjustment, face-saving, and relational repair. Systems configured to apply stable decision thresholds and optimize focal-party outcomes without relational objectives reduce this flexibility and can thereby increase forced impasses. Which pathway dominates depends on AI's role as advisor or counterpart; its objective, training, and prompt; and whether agreement primarily requires analytical problem solving or interpersonal flexibility. These predictions concern system behavior, not whether AI experiences fatigue or social pressure: systems can be designed to respond to relational cues without experiencing them. Wanted impasses depend on both parties' underlying preferences, which AI does not change; AI instead helps negotiators recognize incompatibility sooner and justify walking away more openly. AI therefore changes the composition and meaning of impasses rather than uniformly increasing or decreasing agreement. Remaining impasses may reveal genuine incompatibility, but they may also reflect misspecified objectives or failures to encode principals' relational and economic costs.
We review empirical research on masculinity processes in negotiations. Studies to date are typically based on the precarious manhood thesis, which suggests that men seek to demonstrate their manhood to others, or on evolutionary psychology, which suggests that men are susceptible to evolutionary pressures to compete for mates. The current empirical literature on masculinity and negotiation suggests that men negotiate assertively, or even unethically, when they perceive their manhood to be threatened. Moreover, research repeatedly has shown that men’s negotiation behavior is influenced by counterpart attributes, particularly the gender of the counterpart. Future research on the role of culture, the propensity to initiate negotiations as a criterion, power, and countermeasures for unethical negotiation behavior is needed.
Perception is a cornerstone of aesthetic experience and the psychology of art, providing the primary means through which people engage with artworks and generate emotional and cognitive responses. Across theories of aesthetics, perception is the key process connecting the classic psychological triad of stimulus, person, and context, by integrating sensory information with situational influences. It encompasses factors ranging from low-level visual features, such as natural image statistics with broad appeal, to high-level influences related to familiarity with particular contents and artistic styles shaped by individual experience and sociocultural background. Crucially, mid-level perceptual processes are where perceptual, cognitive, emotional, and contextual factors interact most strongly, playing a central role in aesthetic appreciation and in explaining individual differences in artistic preferences.
Dance and music are foundational human behaviors that likely co-evolved as intertwined modes of social communication, artistic expression, and collective coordination. Despite their intertwined nature, dance and music are typically analyzed in isolation from one another, both in research studies and in applied settings. I present here a proposal for a general framework for conceptualizing the cross-modal relationship between dance and music. This framework is called SpREE and is based on the analysis of four key dimensions relating dance and music: Space, Rhythm, Entrainment, and Expression. Such a framework should be useful for not only understanding the rich diversity of dance and musical styles across world cultures, but for providing insight into clinical interventions such as dance therapy that are intrinsically based on the cross-modal interaction between dance and music.
In recent decades, empirical research on music, often grouped under the label of cognitive neuroscience of music, has approached music primarily as a biological, cognitive faculty, focusing on audiomotor predictive and reward mechanisms. More recently, the neuroaesthetics of music has expanded this focus to musical experience as a situated encounter with music as a performing art. From this viewpoint, three complementary accounts of musical experience can be distinguished: an audiomotor–reward account, closely linked to cognitive neuroscience and centered on prediction, reward and auditory–striatal connectivity; an appreciative–evaluative account, in which liking, being moved, and meaning can emerge without an explicit aesthetic stance; and an aesthetic–artistic account, involving reflective judgments of beauty, novelty, and artistic significance. We review recent advances in naturalistic listening, experimental concert research, and hyperscanning, showing how they move the field beyond isolated sounds toward culturally, socially, and bodily embedded musical events. Finally, we identify a theoretical challenge: future research should explain how musical experiences become meaningful, shared, and potentially transformative across diverse, non-elitist, and non-Western-centered contexts.
